Παρακολούθηση
Artur Kadurin
Artur Kadurin
Artificial Intelligence Research Institute; KubSU
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα airi.net
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Παρατίθεται από
Παρατίθεται από
Έτος
Глубокое обучение
С Николенко, А Кадурин, Е Архангельская
" Издательский дом"" Питер""", 2017
1430*2017
Molecular sets (MOSES): a benchmarking platform for molecular generation models
D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golovanov, O Tatanov, ...
Frontiers in pharmacology 11, 565644, 2020
716*2020
druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico
A Kadurin, S Nikolenko, K Khrabrov, A Aliper, A Zhavoronkov
Molecular pharmaceutics 14 (9), 3098-3104, 2017
5862017
The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology
A Kadurin, A Aliper, A Kazennov, P Mamoshina, Q Vanhaelen, ...
Oncotarget 8 (7), 10883, 2016
4072016
Entangled conditional adversarial autoencoder for de novo drug discovery
D Polykovskiy, A Zhebrak, D Vetrov, Y Ivanenkov, V Aladinskiy, ...
Molecular pharmaceutics 15 (10), 4398-4405, 2018
2752018
3D molecular representations based on the wave transform for convolutional neural networks
D Kuzminykh, D Polykovskiy, A Kadurin, A Zhebrak, I Baskov, S Nikolenko, ...
Molecular pharmaceutics 15 (10), 4378-4385, 2018
1222018
Molecular generation for desired transcriptome changes with adversarial autoencoders
R Shayakhmetov, M Kuznetsov, A Zhebrak, A Kadurin, S Nikolenko, ...
Frontiers in Pharmacology 11, 269, 2020
372020
Medical concept normalization in clinical trials with drug and disease representation learning
Z Miftahutdinov, A Kadurin, R Kudrin, E Tutubalina
Bioinformatics 37 (21), 3856-3864, 2021
332021
Fair evaluation in concept normalization: a large-scale comparative analysis for BERT-based models
E Tutubalina, A Kadurin, Z Miftahutdinov
Proceedings of the 28th International conference on computational …, 2020
322020
nabladft: Large-scale conformational energy and hamiltonian prediction benchmark and dataset
K Khrabrov, I Shenbin, A Ryabov, A Tsypin, A Telepov, A Alekseev, ...
Physical Chemistry Chemical Physics 24 (42), 25853-25863, 2022
252022
MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description
S Nesteruk, J Agafonova, I Pavlov, M Gerasimov, N Latyshev, D Dimitrov, ...
Computers & Geosciences 178, 105414, 2023
112023
Drug and disease interpretation learning with biomedical entity representation transformer
Z Miftahutdinov, A Kadurin, R Kudrin, E Tutubalina
European Conference on Information Retrieval, 451-466, 2021
102021
Biomedical Entity Representation with Graph-Augmented Multi-Objective Transformer
A Sakhovskiy, N Semenova, A Kadurin, E Tutubalina
Findings of the Association for Computational Linguistics: NAACL 2024, 4626-4643, 2024
72024
Graph-enriched biomedical entity representation transformer
A Sakhovskiy, N Semenova, A Kadurin, E Tutubalina
International Conference of the Cross-Language Evaluation Forum for European …, 2023
72023
Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task
V Ganeeva, K Khrabrov, A Kadurin, A Savchenko, E Tutubalina
The Second Tiny Papers Track at ICLR 2024, 0
4
DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
K Khrabrov, A Ber, A Tsypin, K Ushenin, E Rumiantsev, A Telepov, ...
arXiv preprint arXiv:2406.14347, 2024
32024
Lost in translation: Chemical language models and the misunderstanding of molecule structures
V Ganeeva, A Sakhovskiy, K Khrabrov, A Savchenko, A Kadurin, ...
Findings of the Association for Computational Linguistics: EMNLP 2024, 12994 …, 2024
22024
FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction
A Telepov, A Tsypin, K Khrabrov, S Yakukhnov, P Strashnov, P Zhilyaev, ...
arXiv preprint arXiv:2401.09840, 2024
22024
Gradual optimization learning for conformational energy minimization
A Tsypin, L Ugadiarov, K Khrabrov, A Telepov, E Rumiantsev, A Skrynnik, ...
arXiv preprint arXiv:2311.06295, 2023
22023
Automating control of overestimation bias for reinforcement learning
A Kuznetsov, A Grishin, A Tsypin, A Ashukha, A Kadurin, D Vetrov
arXiv preprint arXiv:2110.13523, 2021
22021
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